Genetic analysis of albuminuria in aging mice and concordance with loci for human diabetic nephropathy found in a genome-wide association scan.
Genetic analysis of albuminuria in aging mice and concordance with loci for human diabetic nephropathy found in a genome-wide association scan.
复制标题
DOI：
10.1038/ki.2009.434
复制
发表时间：
2010-02
影响因子：
19.6
通讯作者：
Korstanje, Ron
中科院分区：
文献类型：
--
作者：
Tsaih, Shirng-Wern;Pezzolesi, Marcus G.;Yuan, Rong;Warram, James H.;Krolewski, Andrzej S.;Korstanje, Ron
Aging is a physiological process involving both genetic factors and environmental agents that can lead to function loss in organs. In the kidney, aging can cause leakage of proteins in urine, starting with albumin. Discovering molecular mechanisms responsible for albuminuria during aging could offer new perspectives on the etiology of this abnormality. Haplotype association mapping in the mouse is a novel approach which uses the haplotypes of the relatively closely related mouse inbred strains and the variation of the phenotypes among these strains to find associations between haplotypes and phenotype. Albumin-to-creatinine ratios, measures of urinary albumin excretion, were determined in 30 inbred mouse strains at 12, 18, and 24 months of age. To determine genetic loci that are involved in albuminuria, haplotype association mapping was performed for males and females separately at all 3 time points using a set of 63,222 SNPs. One significant and 8 suggestive loci were identified, some of which map to previously identified loci for traits associated with kidney damage in the mouse, but with a much higher resolution, which narrowed the mapped loci. These 9 loci were then investigated in the data of the genome-wide association scan for diabetic nephropathy in human type 1 diabetes. Two of the 9 mouse loci were found to be significantly associated with diabetic nephropathy, suggesting common underlying genes predisposing to kidney disease in mice and humans.
登录
查看更多内容
影响因子：
9.8
作者：
Pletcher MT;McClurg P;Batalov S;Su AI;Barnes SW;Lagler E;Korstanje R;Wang X;Nusskern D;Bogue MA;Mural RJ;Paigen B;Wiltshire T
通讯作者：
Wiltshire T
影响因子：
13.2
作者：
Chen, Guanjie;Adeyemo, Adebowale A.;Rotimi, Charles
通讯作者：
Rotimi, Charles
影响因子：
7.7
作者：
Qi, ZH;Fujita, H;Breyer, MD
通讯作者：
Breyer, MD
影响因子：
2.5
作者：
Kim, EH;Lee, CH;Ishikawa, A
通讯作者：
Ishikawa, A
影响因子：
7.7
作者：
Placha, Grzegorz;Poznik, G. David;Krolewski, Andrzej S.
通讯作者：
Krolewski, Andrzej S.